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Diabetes

GATTACA—are we there yet?

Nature Reviews Endocrinology volume 5, pages 187–188 (2009)Cite this article

In the past few years, new genetic risk factors for type 2 diabetes mellitus have been identified in large-scale studies of genetic associations. But can their inclusion in clinically based risk models improve disease prediction?

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References

  1. Wilson, P. W. et al. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch. Intern. Med. 167, 1068–1074 (2007).

    Article  PubMed  Google Scholar 

  2. Chien, K. et al. A prediction model for type 2 diabetes risk among Chinese people. Diabetologia 53, 443–450 (2008).

    Google Scholar 

  3. Stern, M. P., Williams, K. & Haffner, S. M. Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose-tolerance test? Ann. Intern. Med. 136, 575–581 (2002).

    Article  PubMed  Google Scholar 

  4. Meigs, J. B. et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N. Engl. J. Med. 359, 2208–2219 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Lyssenko, V. et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N. Engl. J. Med. 359, 2220–2232 (2008).

    Article  CAS  PubMed  Google Scholar 

  6. Lyssenko, V. et al. Genetic prediction of future type 2 diabetes. PLoS Med. 2, e345 (2005).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Weedon, M. N. et al. Combining information from common type 2 diabetes risk polymorphisms improves disease prediction. PLoS Med. 3, e374 (2006).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Vaxillaire, M. et al. Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study. Diabetes 57, 244–254 (2008).

    Article  CAS  PubMed  Google Scholar 

  9. Wray, N. R., Goddard, M. E. & Visscher, P. M. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res. 17, 1520–1528 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Blangero, J. Localization and identification of human quantitative trait loci: king harvest has surely come. Curr. Opin. Genet. Dev. 14, 233–240 (2004).

    Article  CAS  PubMed  Google Scholar 

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  1. Baker IDI Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Vic. 3004, Australia jeremy.jowett@bakeridi.edu.au

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  1. Baker IDI Heart and Diabetes Institute, Melbourne, 3004, Vic., Australia

    Jeremy B. M. Jowett

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  1. Jeremy B. M. Jowett
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Jowett, J. GATTACA—are we there yet?. Nat Rev Endocrinol 5, 187–188 (2009). https://doi.org/10.1038/nrendo.2009.45

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